Neeral Beladia
Google (United States)(US)
Publications by Year
Research Areas
COVID-19 diagnosis using AI, Tuberculosis Research and Epidemiology, Radiomics and Machine Learning in Medical Imaging, Lung Cancer Diagnosis and Treatment, Infectious Diseases and Tuberculosis
Most-Cited Works
- → Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists(2022)68 cited
- → Simplified Transfer Learning for Chest Radiography Models Using Less Data(2022)54 cited
- → Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19(2021)52 cited
- → Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and Japan(2024)12 cited
- → Deep learning for detecting pulmonary tuberculosis via chest\n radiography: an international study across 10 countries(2021)2 cited
- → Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases(2020)1 cited
- %rtf2data : A utility macro to convert RTF Table to SAS ® dataset(2010)